Spectral CT Slice Selection Using Material Distribution Histograms
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Solution Overview
Problem
In spectral CT examinations, it is difficult to identify which slice contains symptom-specific materials among the numerous images captured, affecting the accuracy of image selection.
Innovation Solution
A data processing apparatus and method that analyzes material discrimination and effective atomic number images to generate statistical information and histograms, allowing for precise selection of analysis regions and improved image accuracy by displaying density and atomic number distributions for each slice.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If spectral CT device captures tens to thousands of images in one examination, then comprehensive coverage of the examination area is achieved, but it becomes difficult to identify which slice contains symptom-specific materials
Solution Approach 1:
The patent segments the large number of CT slices by generating statistical information (histograms) for each individual slice, showing the distribution of materials in that specific slice. This allows the examiner to quickly identify which slice contains symptom-specific materials without manually reviewing all tens to thousands of images, thus resolving the contradiction between comprehensive coverage and ease of identification.
2Measurement precision
If material discrimination images and effective atomic number images are analyzed for each slice, then accuracy of image selection is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary analysis by pre-processing the CT data to generate statistical information and histograms for each slice before the actual examination review. This preliminary action prepares the data in advance, allowing rapid identification of symptom-specific slices during the examination without requiring time-consuming analysis at that stage, thus improving accuracy while minimizing time loss.
Data Source
AI summary
There are provided data processing apparatus, method, and program which can improve accuracy of image selection. A data processing apparatus that processes data of a plurality of slices acquired by a spectral CT device includes a processor, in which the processor outputs a first image generated on the basis of the data to a display destination, receives setting of a region that is an analysis target, on the first image output to the display destination, analyzes a second image of the plurality of slices generated on the basis of the data to generate statistical information indicating a distribution of a material in the region for each slice, and outputs the statistical information to the display destination.


